Steve is the VP of marketing at Harness and has also worked at Moonsoft and Glassdoor. He specialises in Disruptive Marketing, Application Performance Management, SaaS, Freemium & Enterprise Software.
David McKay is a software and technology professional, born & bred in Glassgow, Scotland. As a serial user-group organiser, founding Cloud Native, Docker, DevOps, mongoDB, and Pair Programming Glassgow; David is always searching for new and creative ways to share knowledge with others.
Josh Michielsen is a Senior Software Engineer for the Platform Engineering team at Condé Nast International, where he helps to drive the vision of a truly global platform to house some of the worlds largest online publications! He specialises in container orchestration, software development, continuous delivery, and cloud operations. When he's not wrangling with Kubernetes or checking if err != nil in Go, he is a hobbyist data scientist, photographer, cyclist, and doge owner living in Cambridge, UK.
QA, Testing and deployment verification remains a manual task for dev/ops teams, several hours are added to a typical deployment pipeline (dev > prod)
Metrics, Telemetry, and application events are readily available from run-time, logs, and tools, but are fragmented and require human interpretation
Machine Learning and NLP algorithms can be used to automate QA/testing/verification (the interpretation of time-series metrics and unstructured data)